AI Translation API

Advanced AI Translation

Automatic machine translation has been available for years thanks to services like Google Translate, but results have never been completely satisfying. Thanks to the recent progress made in deep learning, it is now possible to reach a more advanced level of machine translation based on AI.

AI models make translation very fluent. Even for advanced technical topics, it's hard to detect that translation was performed by a machine. Now that translation is more reliable than ever, it creates tons of new possibilities.

These last years, several advanced AI translation models were released, like NLLB 200 and M2M 100 by Meta, and Helsinki Opus MT by the University of Helsinki. On NLP Cloud you can use our translation API based on NLLB 200 to translate text in 200 languages.

AI translation

Why Use Automatic Translation?

Potential applications for automatic translation are countless, but let's show 2 examples.

Global eCommerce

This broadens their market reach, allowing them to cater to customers worldwide without the need for extensive multilingual customer support teams. It significantly enhances the shopping experience for non-English speakers and can dramatically increase a company’s international sales.

Travel and Hospitality

In the travel and hospitality industry, AI translation facilitates seamless communication between businesses and travelers from different linguistic backgrounds. This can range from translating hotel websites and booking platforms to providing real-time spoken language translation services for front desk staff or in tourist information centers.


AI-powered translation services in healthcare can translate patient records, informational brochures, and consent forms. They can also facilitate real-time communication between healthcare providers and patients who speak different languages.

Education and Research

In the educational sector, AI translation makes academic content and research accessible across linguistic boundaries. It enables the translation of textbooks, lectures, and research papers into multiple languages, facilitating global learning and collaboration.

NLP Cloud's AI Translation API

NLP Cloud proposes a translation API based on AI that allows you to perform machine translation out of the box in 200 languages, based on Facebook's NLLB 200 3.3B. This model performs better than Meta's M2M100, and is on-par with Helsinki's Opus MT models. If you are not sure about the language of the input text you are trying to translate, you can let the model guess it for your.

For more details, see our documentation about translation here.

Here are the supported languages:

Testing deep learning translation locally is one thing, but using it reliably in production is another thing. With NLP Cloud you can just do both!

Frequently Asked Questions

What is AI-based translation?

AI-based translation refers to the process of converting text or speech from one language to another using artificial intelligence technologies, particularly neural networks and machine learning algorithms, to achieve high levels of accuracy and fluency similar to human translation. This approach enables real-time translation and can continuously improve through learning from large datasets.

Can AI-based translation replace human translators?

AI-based translation can significantly assist and expedite the process of translating texts, especially for general content, but it struggles with nuances, cultural context, and creative language that human translators excel at understanding and conveying. Therefore, while AI can complement human translation efforts, it cannot fully replace human translators for all types of content.

What are the limitations of AI-based translation?

AI-based translation struggles with capturing the nuances of human languages, such as idioms, cultural references, and context-specific meanings, leading to errors or inaccuracies. Additionally, it often fails to reproduce the stylistic and emotional subtleties of the original text, making the translation seem awkward or unnatural.

Can AI-based translation handle all languages equally well?

No, AI-based translation does not handle all languages equally well; its performance varies significantly depending on the amount of data available and how similar the languages are to those with extensive datasets. Languages with less digital content or that are significantly different from widely studied languages tend to be translated with lower accuracy.

How to evaluate the accuracy of translation?

To evaluate the accuracy of translation, compare the translation with the original text in terms of content accuracy, cultural appropriateness, and language fluency. Additionally, feedback from native speakers or using automated tools like BLEU (Bilingual Evaluation Understudy) for quantitative assessment can provide insights into the accuracy.

What languages does your AI API support for translation?

We support translation in 200 languages

Can I try your translation API for free?

Yes, like all the models on NLP Cloud, the translation API endpoint can be tested for free

How does your AI API handle data privacy and security during the translation process?

NLP Cloud is focused on data privacy by design: we do not log or store the content of the requests you make on our API. NLP Cloud is both HIPAA and GDPR compliant.